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Rikj000/MoniGoMani

Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from. observed · 2026-08-28

github.com/Rikj000/MoniGoMani · homepage · Python · GPL-3.0 (copyleft) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1985
  • days_rel: n/a
  • days_push: 1271
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1026 stars · 153 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MoniGoMani is a Freqtrade framework and trading strategy for cryptocurrency trading that uses weighted signals optimized via HyperOpt. It is explicitly marked as pre-release/experimental and not recommended for live trading.

Use cases

  • optimize a freqtrade crypto trading strategy with hyperopt
  • build a weighted-signal trading strategy for bitcoin
  • backtest and tune crypto trading bot signals
  • find a freqtrade strategy framework to customize
  • experiment with machine-learning-tuned crypto strategies

When to choose

  • you already use Freqtrade and want a signal-weighting strategy skeleton
  • you want to experiment with HyperOpt-driven strategy tuning
  • you want a community-supported freqtrade strategy starting point

When to avoid

  • you need a stable, production-ready strategy for live trading
  • you want a plug-and-play profitable bot without tuning
  • you don't use Freqtrade or Python

Facets

framework · maturity experimental

trading machine-learning developer-tools fintech machine-learning python cli freqtrade hyperopt trading-strategy crypto-trading-bot weighted-signals cryptocurrency

1 source

Member repositories

RepositoryRoleHealth v2
Rikj000/MoniGoManimain10

For agents

markdown · JSON · MCP: product_card(name="Rikj000/MoniGoMani")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem